title: Self-guided clinical cases for medical students based on postmortem CT scans of cadavers.
abstract: In the summer of 2009, we began full body computed tomography (CT) scanning of the pre-embalmed cadavers in the University of Michigan Medical School (UMMS) dissection lab. We theorized that implementing web-based, self-guided clinical cases based on postmortem CT (PMCT) scans would result in increased student appreciation for the clinical relevance of anatomy, increased knowledge of cross-sectional anatomy, and increased ability to identify common pathologies on CT scans. The PMCT scan of each cadaver was produced as a DICOM dataset, and then converted into a Quicktime movie file using Osirix software. Clinical cases were researched and written by the authors, and consist of at least one Quicktime movie of a PMCT scan surrounded by a novel navigation interface. To assess the value of these clinical cases we surveyed medical students at UMMS who are currently using the clinical cases in their coursework. Students felt the clinical cases increased the clinical relevance of anatomy (mean response 7.77/10), increased their confidence finding anatomical structures on CT (7.00/10), and increased their confidence recognizing common pathologies on CT (6.17/10). Students also felt these clinical cases helped them synthesize material from numerous courses into an overall picture of a given disease process (7.01/10). These results support the conclusion that our clinical cases help to show students why the anatomy they are learning is foundational to their other coursework. We would recommend the use of similar clinical cases to any medical school utilizing cadaver dissection as a primary teaching method in anatomy education.
authors.affiliation: Division of Anatomical Sciences, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA. mbohl@umich.edu
authors.forename: Michael
authors.initials: M
authors.lastname: Bohl
authors.forename: Webster
authors.initials: W
authors.lastname: Francois
authors.forename: Thomas
authors.initials: T
authors.lastname: Gest
mesh_terms: D002102:Cadaver; D003194:Computer-Assisted Instruction; D003933:Diagnosis; D004504:Education, Medical, Undergraduate / Q000379:methods*; D004521:Educational Measurement; D006801:Humans; D010336:Pathology / Q000193:education*; D018794:Problem-Based Learning; D013337:Students, Medical; D013663:Teaching / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000379:methods; D051598:Whole Body Imaging / Q000379:methods*